**5. Conclusions**

Taking the distribution transformer as an example, this paper establishes a self-assessment model of the distribution equipment based on multi-source heterogeneous information fusion. The operation conditions and reliability assessment of the equipment can be obtained through the integration of data from a variety of sources, and maintenance is arranged according to the health state of the equipment, which can support the improvement of power supply reliability and the economy of power marketing.

This method reduces the influence of subjective factors brought by the expert review opinions; avoids errors caused by data redundancy or errors or omissions; and improves the reliability of data analysis and the accuracy of distribution equipment state assessment. The data of 16 distribution transformers in a certain area were selected, their status was evaluated. The effectiveness of the method was verified by a practical example.

**Author Contributions:** Conceptualization, N.W.; methodology, F.Z.; software, N.W.; validation F.Z.; formal analysis, F.Z.; investigation, F.Z.; resources, N.W.; data curation, N.W.; writing—original draft preparation, F.Z.; writing—review and editing, N.W.; supervision, N.W.; project administration, N.W.; and funding acquisition, F.Z. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by the Fundamental Research Funds for the Central Universities (2015MS83).

**Conflicts of Interest:** The authors declare no conflict of interest.
